.onAttach               Prints welcome message on package load
anova.lsasimcluster     Generate an ANOVA table for LSASIM clusters
attribute_cluster_labels
                        Attribute Labels in Hierarchical Structure
beta_gen                Generate regression coefficients
block_design            Assignment of test items to blocks
booklet_design          Assignment of item blocks to test booklets
booklet_sample          Assignment of test booklets to test takers
brr                     Generate replicates of a dataset using Balanced
                        Repeated Replication
calc_n_tilde            Calculate ñ
calc_replicate_weights
                        Calculate replicate weights and summary
                        statistics
calc_se_rho             Calculate Standard Error of Intraclass
                        Correlation
calc_var_between        Calculate variance between classes
calc_var_tot            Calculate the total variance
calc_var_within         Calculate variance within classes
check_condition         Check if an error condition is satisfied
check_ignored_parameters
                        Checks if provided parameters are ignored
check_n_N_class         Check class of n or N
check_valid_structure   Check if List is Valid
cluster_gen             Generate cluster sample
cluster_gen_separate    Generate cluster samples with individual
                        questionnaires
cluster_gen_together    Generate cluster samples with lowest-level
                        questionnaires
cluster_message         Print messages about clusters
convert_vector_to_list
                        Convert Vector to Expanded List
cor_gen                 Generation of random correlation matrix
cov_gen                 Generation of covariance matrices
cov_yfz_gen             Generate latent regression covariance matrix
cov_yxw_gen             Setup full YXW covariance matrix
cov_yxz_gen             Generate analytical covariance matrix
customize_summary       Customize Summary
draw_cluster_structure
                        Draw Cluster Structure
gen_X_W_cluster         Generate n_X and n_W for clusters
gen_cat_prop            Generates cat_prop for questionnaire_gen
gen_variable_n          Randomly generate the quantity of background
                        variables
intraclass_cor          Intraclass correlation
irt_gen                 Simulate item responses from an item response
                        model
item_gen                Generation of item parameters from uniform
                        distributions
jackknife               Generate replicates of a dataset using
                        Jackknife
label_respondents       Label respondents
lambda_gen              Randomly generate a matrix of factor loadings
lsasim                  lsasim: A package for simulating large scale
                        assessment data
pisa2012_math_block     PISA 2012 mathematics item - item block
                        indicator matrix
pisa2012_math_booklet   PISA 2012 mathematics item block - test booklet
                        indicator matrix
pisa2012_math_item      Item parameter estimates for 2012 PISA
                        mathematics assessment
pisa2012_q_cormat       Correlation matrix from the PISA 2012
                        background questionnaire
pisa2012_q_marginal     Marginal proportions from the PISA 2012
                        background questionnaire
pluralize               Pluralize words
print_anova             Print the ANOVA table
proportion_gen          Generation of random cumulative proportions
pt_bis_conversion       Analytical point-biserial conversion
questionnaire_gen       Generation of ordinal and continuous variables
questionnaire_gen_family
                        Generation of ordinal and continuous variables
questionnaire_gen_polychoric
                        Generation of ordinal and continuous variables
ranges                  Defines vector as range
recalc_final_weights    Recalculate final weights
replicate_var           Sampling variance of the mean for replications
response_gen            Generation of item response data using a
                        rotated block design
rzeropois               Generate data from a Zero-truncated Poisson
sample_from             Sample from population structure
sample_within_range     Sample from range
select                  Transform regular vector into selection vector
split_cat_prop          Split variables in cat_prop
summary.lsasimcluster   Summarizes clusters
summary_2               Dataset summary statistics
trim_sample             Trim sample
validate_questionnaire_gen
                        Wrapper-functions for check_condition
weight_responses        Weight responses
whitelist_message       Whitelist message
